Pavel Jindra

3.1k citations
97 papers · 1.3k indexed · h-index 21
Topics
Hematopoietic Stem Cell Transplantation (34 papers)Acute Myeloid Leukemia Research (21 papers)Cytomegalovirus and herpesvirus research (18 papers)
Partner nations
CzechiaFranceGermany

In The Last Decade

Pavel Jindra

87 papers receiving 1.3k citations

Peers

Pavel Jindra
Comparison fields: 5 of 68
  • Epidemiology 635
  • Hematology 493
  • Oncology 362
  • Psychiatry and Mental health 223
  • Immunology 212
Replace Y Lebranchu with:
Y Lebranchu France
Premini Mahendra United Kingdom
Matthew Carabasi United States
Takaharu Matsuyama Japan
Richard Childs United States
Maryvonnick Carmagnat France
Shelly L. Carter United States
A.H. Filipovich United States
Helmut E. Feucht Germany
Sonali Chaudhury United States
Pavel Jindra relative to Y Lebranchu France Y Lebranchu's profile →
Citations per field
00.5×6.6×
Y Lebranchu · 1×
Citations per year

Countries citing papers authored by Pavel Jindra

Since Specialization
Citations

This map shows the geographic impact of Pavel Jindra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pavel Jindra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Jindra more than expected).

Fields of papers citing papers by Pavel Jindra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavel Jindra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pavel Jindra. The network helps show where Pavel Jindra may publish in the future.

Co-authorship network of co-authors of Pavel Jindra

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Jindra. A scholar is included among the top collaborators of Pavel Jindra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pavel Jindra. Pavel Jindra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 2
4 2
5 5
6 4
7 14
8 26
9 37
10
Challenges of Clinical Decision Support System Development
1
11 17
12
Comparison of RIC-alloHCT and autoHCT for > 55 years old patients with acute lymphoblastic leukemia: an analysis from Acute Leukemia Working Party of the EBMT
1
13 14
14 31
15 7
16 15
17 0
18 58
19 54
20 8

About Pavel Jindra

Pavel Jindra is a scholar working on Hematology, Transplantation and Genetics, having authored 97 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (34 papers), Acute Myeloid Leukemia Research (21 papers) and Cytomegalovirus and herpesvirus research (18 papers). The work is most often cited by research in Transplantation (207 citations), Hematology (493 citations) and Epidemiology (635 citations). Pavel Jindra has collaborated with scholars based in Czechia, France and Germany. Frequent co-authors include Tomáš Reischig, Vladislav Třeška, Ondřej Hes, Miroslava Švecová, Daniel Lysák, Mirko Bouda, K Opatrný, Vladimír Koza, Stanislav Kormunda and Arnon Nagler. Their work appears in journals such as Blood, Cancer and International Journal of Molecular Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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